Senior PostgreSQL Database Engineer (Remote)
PerconaSalary not specified
€83,700 – €95,300Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Analytics, TechnologyIndustries
Requirements
- Experience as a Support Engineer or similar role
- Bachelor's degree in Computer Science, Information Systems, Informatics, a related field preferred or equivalent professional experience
- Excellent communication skills with a customer-first mindset, able to explain complex technical issues to non-technical users with patience and clarity
- Demonstrated ability to write, understand, and optimize SQL queries to troubleshoot and resolve database issues
- Proven ability to identify, diagnose, and resolve technical issues with a high level of customer empathy
- Solid understanding of networking protocols, IP addressing, DNS, and general networking concepts
- Familiarity with databases (e.g., MySQL, PostgreSQL) and data engineering concepts (ETL pipelines, data warehousing)
- Familiarity with scripting languages (Python, NodeJS, Java) to automate troubleshooting tasks
- Experience with data engineering tools like dbt, Airflow, Spark or similar platforms
- Experience with support ticketing systems, remote troubleshooting tools, and monitoring platforms
- Analytical mindset with a focus on identifying root causes and preventing future issues
- Collaborative attitude, able to work across teams to solve customer challenges efficiently
Responsibilities
- SQL Expertise: Use SQL to query, troubleshoot, and optimize database performance, providing insights and resolutions to customer data-related issues
- Technical Troubleshooting: Diagnose, analyze, and resolve complex customer issues related to our software, database, and networking environments
- Customer Support: Provide exceptional support to MotherDuck customers by understanding their challenges, effectively communicating solutions, and ensuring issues are resolved promptly
- Networking Knowledge: Assist customers in identifying and troubleshooting network-related issues, including connectivity problems, configurations, and protocols
- Data Engineering Understanding: Collaborate with internal teams and customers to troubleshoot data pipelines, ETL processes, and integrations with data platforms
- Incident Management: Manage technical incidents from initial reporting through to resolution, ensuring proper documentation and communication at each step
- Collaboration: Work closely with the engineering, product, and customer success teams to ensure customer issues are properly prioritized and resolved
- Knowledge Base Contribution: Contribute to internal and external documentation, including FAQs, troubleshooting guides, and best practices to enhance customer self-service
- Continuous Improvement: Identify opportunities for process improvements to increase the efficiency and effectiveness of the support function
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Technical Support Engineer position?
The salary range is €83.7K - €95.3K.
Is this role remote or hybrid, and where is it based?
The role is hybrid and based in the Amsterdam office.
What key skills are required for this Technical Support Engineer role?
Required skills include proficiency in SQL, deep understanding of databases, networking, and data engineering, strong troubleshooting skills, high customer empathy, and excellent communication abilities.
What is the company culture like at MotherDuck?
MotherDuck has a dynamic team of passionate, collaborative, and empathetic data industry veterans from companies like Google, Amazon, Meta, Snowflake, and others.
What makes a strong candidate for this Support Engineer position?
A strong candidate has experience as a Support Engineer or similar role, a Bachelor's degree in Computer Science or related field (or equivalent), excellent communication skills, and a customer-first mindset to explain complex issues clearly.
MotherDuck
Database management and data exploration tool
About MotherDuck
MotherDuck provides a data exploration tool aimed at improving database management for businesses and organizations. This tool allows users to efficiently manage and analyze large datasets, making it suitable for a wide range of clients, from small businesses to large corporations. The product is designed to be user-friendly, addressing the high demand for reliable database management solutions in a competitive market. Unlike many competitors, MotherDuck's team consists of experienced database experts with backgrounds in web UI, cloud platforms, and data technologies, which enhances the product's effectiveness. The company operates on a subscription model, ensuring a steady revenue stream that supports ongoing product improvements. The goal of MotherDuck is to deliver a powerful yet accessible tool that simplifies data exploration and management for its users.
Seattle, WashingtonHeadquarters
2022Year Founded
$97.3MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
Stock Options
Company Equity
Hybrid Work Options
Risks
Competition from AWS and Google Cloud threatens MotherDuck's market share.
EU data protection laws may increase compliance costs for the new European headquarters.
Dependency on DuckDB's open-source platform poses risks if vulnerabilities arise.
Differentiation
MotherDuck combines DuckDB's speed with cloud scalability for a unique analytics platform.
The company offers a serverless, user-friendly tool for both small and large datasets.
MotherDuck's founding team includes experts from Snowflake, Facebook, and Elastic.
Upsides
Integration with Zenlytic expands MotherDuck's appeal to self-serve business intelligence users.
European headquarters in the Netherlands enhances market presence and service in Europe.
$52.5 million Series B funding supports development and expansion, showing investor confidence.
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